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Data Scientist (Data Practice) Job Opening In Singapore, Singapore – Now Hiring People Advantage


Job description

Responsibilities

  • Design and execute rigorous experiments to evaluate emerging PETs and solutions
  • Develop proof-of-concepts that demonstrate real-world applicability and measurable impact
  • Stay current with academic research and translate findings into practical, deployable solutions
  • Contribute to the broader community through publications and knowledge sharing with government and international partners
  • Collaborate directly with agencies to deeply understand their unique privacy challenges and operational constraints
  • Design and execute pilot programmes to test PET solutions
  • Systematically gather user feedback and iterate on solutions based on practical deployment experiences and lessons learned
  • Provide ongoing technical consultation and hands-on support to agencies throughout their privacy technology adoption journey
  • Identify opportunities where PETs can address current common data challenges across agencies
  • Architect and develop scalable solutions designed for widespread adoption across the WOG ecosystem
  • Establish clear implementation pathways and adoption frameworks for new privacy technologies
  • Work as a collaborative team player alongside data scientists, data engineers, software engineers, and product managers
  • Partner strategically with agencies to align technical solutions with the evolving landscape of regulatory requirements and governance frameworks

Requirements

  • Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 2-3 years of relevant professional experience.

  • Strong foundation in machine learning, with hands‑on experience in model development and experimentation.

  • Strong programming proficiency in Python and extensive experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn).

  • Ability to analyze model behavior, diagnose training issues, and design experiments to optimize performance and reliability.

  • Demonstrated ability to read, synthesize, and critically evaluate academic research papers and technical literature.

  • Experience designing and conducting rigorous experiments to validate hypotheses and measure solution effectiveness.

  • Comfort working with ambiguous problems and developing novel approaches to complex challenges.

  • Experience with privacy‑enhancing technologies, including but not limited to anonymisation, synthetic data generation or differential privacy.

  • Familiarity with frontend integration workflows (Next.js/React).

  • Prior experience working in multidisciplinary teams.

  • Curiosity and willingness to learn new domains (esp.

    data privacy).

  • Strong communication skills to explain technical concepts to both engineers and non‑technical stakeholders.

  • Inclination to work in a collaborative, fast‑moving Agile environment.

  • Strong in communication with the ability to explain complex technical concepts clearly to diverse audiences.

This is a 1-year Contract position under People Advantage (Certis Group).

We appreciate your application and regret only shortlisted candidates will be notified.

By submitting your resume, you consent to the handling of your personal data in accordance with Certis Group Privacy Policy (

#J-18808-Ljbffr

Required Skill Profession

Database, Analytics & Bi


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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in Singapore, Singapore, highlighting market share and opportunities for professionals in Data Scientist roles.

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Are You Looking for Data Scientist (Data Practice) Job?

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Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at People Advantage adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Scientist (Data Practice) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist (Data Practice)?

Key qualifications for Data Scientist (Data Practice) typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Scientist (Data Practice) Job Success

People Advantage interview tips for Data Scientist (Data Practice)

Here are some tips to help you prepare for and ace your Data Scientist (Data Practice) job interview:

Before the Interview:

Research: Learn about the People Advantage's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist (Data Practice) interview at People Advantage, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the People Advantage's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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